SOTAVerified

Semantic Segmentation

Papers

Showing 47014725 of 14763 papers

TitleStatusHype
Exploring Transformers for Open-world Instance Segmentation0
1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges0
Expression Prompt Collaboration Transformer for Universal Referring Video Object SegmentationCode0
AquaSAM: Underwater Image Foreground SegmentationCode0
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic SegmentationCode1
Redesigning Out-of-Distribution Detection on 3D Medical Images0
High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers0
Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network0
Feature Decoupling-Recycling Network for Fast Interactive Segmentation0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light VisionCode1
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels0
DiT: Efficient Vision Transformers with Dynamic Token RoutingCode0
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model0
Mask Frozen-DETR: High Quality Instance Segmentation with One GPU0
Prototype Learning for Out-of-Distribution Polyp SegmentationCode0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities0
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNetCode0
Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)0
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic SegmentationCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage0
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation0
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge DistillationCode0
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4InternImage-HValidation mIoU62.9Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified